shaping labour supply, a role that has resulted in the clustering of non-Irish workers in particular sectors of the labour … policies, as they reflect global labour trends, contribute to the clustering of certain migrants in particular sectors. The … method of analysis involves a three-step numerical analysis of clustering: (1) percentages, (2) ODDS ratios and (3) two …

series model for each ATMs. For clustering, the succession of 7 continuous daily withdrawal seasonality parameters of ATMs is … result of Andrawis et al. (2011). This is due to clustering followed by a forecasting phase. Further, the proposed approach … yielded much smaller SMAPE values than the approach of direct prediction on the entire sample without clustering. From a …

networks, such as connectivity, clustering, and the degree of the players, help to predict informed behavior in the lab. People …

expression for the clustering in the graph is derived. By tuning the parameters of the model, it is possible to generate a graph … with arbitrary clustering, expected degree and { in the power law case { tail exponent. …

) a Zidane clustering theorem is derived. It is argued that the best midfielder is most efficiently allocated when … would occur on the players market. Obviously, such a clustering effect negatively affects the competitive balance. It is … shown that the clustering effect must be compensated by decreasing marginal revenue for sporting success in order to restore …

Clustering and lack of sufficient diversification in research strategies has been identified as an important problem …

-means clustering were simulated within the the Farm-level Economic Model (FEM) to determine the economic impacts of four manure …